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You don't pay for a £200 a month account to respond to your emails, and if you are, I would tell you that you're wasting your money.
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I don't know, I guess it depends from a) how many hours per month you spend answering emails, and b) how much more revenue you could get in that same time. $200 should be reasonably 2/3 hours of work? So that's about the amount of saved time per month to break even on your subscription. It's a steal.
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Whenever you solve any hard problem, you start off by finding a complicated solution, which you then scale down to a simpler solution.

LLMs are a "complicated solution" in the sense that they're expensive. Once you know what they're capable of, you can scale them down to something less expensive. There's usually a way.

Also, an important advantage of LLMs over other approaches is that it's easy to improve them by finding better ways of prompting them. Those prompting strategies can then get hard-coded into the models to make them more efficient. Rinse and repeat. Similarly, you can produce curated data to make them better in certain areas like programming or mathematics.

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they're not _compplicated_, their complex. And solution implies they're not hallucinating the goat and how to fix it.
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Do you realize you're fighting a strawman or do you actually think this is a compelling argument?
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oh, sorry, I'm not running a 10T param. Just local models for me. kk thx.
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